Amazon CloudFront vs Google Kubernetes Engine Comparison

A

Why choose Amazon CloudFront

• Higher Cost score (6/10 vs 5/10)
• Higher Customization score (9/10 vs 8/10)
• Better fit for small business (5/10 vs 3/10)

G

Why choose Google Kubernetes Engine

• Higher Ease of Use score (6/10 vs 5/10)

A

Amazon CloudFront

Pros

• The network is very large, with more than 750 PoPs plus over 1,140 PoPs embedded inside ISP networks.
• Data transfer from AWS origins such as S3 and EC2 to CloudFront costs nothing, which lowers costs for workloads hosted on AWS.
• Flat-rate plans start at $15 a month with no overage charges, which makes bills predictable.
• It has strong compliance coverage, including PCI-DSS Level 1, HIPAA, SOC, ISO and FedRAMP Moderate.
• Two tiers of edge compute are available: CloudFront Functions at $0.10 per million invocations and Lambda@Edge for heavier code.

Cons

• G2 and Capterra reviewers report complex configuration and a steep learning curve for people new to AWS.
• Capterra-network reviewers rate customer support poorly, around 3.4 out of 5.
• Flat-rate plans lack some features, such as real-time logs, dedicated IP SSL and continuous deployment, and going over the allowance reduces performance.
• Dedicated IP SSL at $600 a month and Anycast Static IPs at $3,000 a month are expensive extras.
• Users on AWS re:Post and GitHub report cache invalidations that occasionally hang for hours or time out during deploys.

G

Google Kubernetes Engine

Pros

• Autopilot mode removes node management and bills only for the resources pods request, so unscheduled pods and system overhead are not charged.
• The $74.40 monthly credit pays the management fee for one zonal or Autopilot cluster.
• Comparison articles rate its setup the simplest of GKE, EKS, and AKS, and its hybrid and multi-cloud tooling the most mature.
• Since September 2025, fleet management and policy tools come with Standard at no extra cost.
• G2 reviewers give it an average of about 4.5 stars and praise the stability of the managed control plane.

Cons

• Every cluster pays about $73 a month in management fees, while AKS's standard tier control plane is free.
• Load balancers, storage, and network egress are billed separately, so reviewers find total costs hard to forecast.
• Users report a steep Kubernetes learning curve, and advanced tuning still takes real expertise.
• Reviewers describe support as mixed, especially for clusters on older Kubernetes versions.
• Forum threads describe Autopilot problems such as pods being preempted and scale-up and scale-down loops.